• Engage prospective customers, develop their system requirements, and feasibly design solutions and price services • Demonstrate industry and NetSuite-specific expertise in the pre-sales process, delivering demos regularly that drive prospect conversion to customer. • Partner with sales to develop maximum value offerings for prospective customers tailored to their business needs • Partner with service delivery to ensure effective requirements/design knowledge transfer after sale • Collaborate cross-functionally and mentor sales resources to cultivate their NetSuite knowledge and consulting / delivery talent to hone their manufacturing industry knowledge • Cultivate further subject matter expertise through regular learning opportunities and a personalized learning plan • Achieve and exceed quarterly KPI targets

• Act as the solutions lead in sales engagements, including discovery, solution design, demonstrations, and proposal development. • Translate business and operational challenges into platform-based architectures and solutions. • Lead client workshops, business process mapping, and solution scoping sessions. • Present technical architectures and business value to stakeholders from plant staff to executive leadership. • Respond to RFPs, RFIs, and client technical inquiries with structured, compelling solutions. • Design scalable MES, TMS, QMS, IoT, and operational intelligence solutions using the company’s no-code platform. • Architect integrations between the platform and ERP systems, PLCs, SCADA, historians, and other production systems. • Mentor junior architects and delivery team members on platform best practices.

• Partnering with clients and client teams to define a solution and associated scope; championing that scope to internal teams for everyone to rally around, supporting solution questions from team members; gathering core requirements for new business; providing general RFP support (answer questions on tech/products, services); leading product demonstrations for clients and/or prospects • Create technical solutions, encompassing the complete system with documentation of all integration points (generally for a single client system), while demonstrating awareness of key business functions and corresponding technical strategy benefits, risks, and costs that impact the business • Actively negotiate business requirements with clients to manage scope of work and expectations of delivery timelines • Proactively communicate and clarify business requirements to all functional groups to ensure the solution meets the business objectives • Propose and lead the implementation or improvement of innovative and repeatable approaches, methods, processes, or technologies that can be adopted by your team and other departments • Serves as a SME/Mentor for other teammates

• Develop a deep understanding of client context and Qventus capabilities to identify high-leverage opportunities for rapid impact with bespoke AI Operational Assistant workflows • Responsible for the design, execution, and optimization of bespoke AI Operational Assistant use cases at the client • Technical Implementation • Leverage LLM-based AI (GPT, Claude, Gemini, LLaMA, etc.) to build advanced conversational systems. • Apply conversation modeling techniques like state machines, decision trees, and graph-based flows. • Use frameworks such as Dialogflow, Rasa, Amazon Lex, Langchain, or similar tools. • Collaborate with backend teams to integrate bots with APIs, CRMs, and enterprise systems. • Enhance bot functionality with custom scripts, API calls, and external system integrations. • Optimization, Testing & Maintenance • Continuously tune and improve intent recognition and response quality using real user data. • Monitor and resolve conversation breakdowns, mismatches, and fallback issues. • Develop and run unit, regression, and A/B tests to ensure conversational performance. • Implement real-time monitoring, analytics, and logging to drive performance insights. • Collaboration & Documentation • Shape client use cases in partnership with the AI Solution Consultant • Collaborate closely with Qventus architects, engineers, and data scientists, as well as client end-users and IT teams to define and refine product requirements • Work closely with software engineers and data scientists to refine LLM integration and behavior. • Document conversation logic, prompt structures, and decision workflows for scalability and maintainability. • Mentor and support cross-functional teammates across forward-deployed client team